Location:
Etobicoke, ON, hybrid, ideally 2 days on-site per week

About the Opportunity
Join a leading infrastructure-focused organization where data is helping shape smarter, safer, and more sustainable operations. This permanent Data Engineering Specialist role offers the opportunity to build the data foundation that will support AI, machine learning, predictive analytics, and intelligent automation.

You’ll work closely with AI/ML teams, technology partners, and operational stakeholders to turn complex data into reliable, usable insights. Your work will help teams make better decisions, improve workflows, and unlock new value across the business.

What’s In It for You
This is a strong opportunity to grow your career in a collaborative environment that values innovation, inclusion, and continuous improvement. You’ll have exposure to meaningful AI/ML initiatives, modern cloud data platforms, and cross-functional teams who are invested in doing great work together.

You’ll also receive a competitive salary range of $80,000 to $95,000, plus an attractive bonus program, benefits, 3 weeks of vacation, stock option plan, profit sharing, and pension eligibility after 1 year.

Your Responsibilities
• You’ll develop and maintain scalable data pipelines that ingest data from IoT devices, operational systems, field applications, and enterprise platforms.
• In this role, you’ll clean, normalize, transform, and structure semi-structured, unstructured, and nested data for analytics and AI/ML use cases.
• You’ll support Azure Data Platform initiatives, including Azure Databricks, Data Lake, CI/CD automation, and related services.
• You’ll create workflows for extracting insights from documents, images, emails, and other unstructured sources using OCR, NLP preprocessing, and metadata extraction.
• You’ll collaborate with AI/ML teams to deliver curated datasets, engineered features, labeled examples, consistent schemas, dataset versioning, and data lineage.
• You’ll monitor and optimize data workflows while strengthening reliability and reducing technical debt across data infrastructure.

Skills and Qualifications
• 3+ years of data engineering experience, ideally within AI/ML environments.
• 3+ years of hands-on experience with Databricks and/or Microsoft Fabric.
• Strong proficiency in Python, SQL, Spark, Kafka, ETL/ELT processes, and distributed data frameworks.
• Experience with cloud platforms such as Azure, AWS, or GCP, plus orchestration tools such as Airflow or Prefect.
• Strong understanding of data modelling, unstructured data workflows, feature pipelines, and data quality practices.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

Note from the Hiring Manager
We’re looking for someone who enjoys building strong data foundations and wants to play a meaningful role in enabling AI-driven solutions. This is a great fit for someone who is curious, collaborative, and excited to bring structure to complex data challenges.

Why Partner with Altis
If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.

We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals. All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.